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Deep autoencoders for feature learning with embeddings for recommendations: a novel recommender system solution

Autor: Pradeep Kumar, Bharat Bhasker, Kiran Rama

Publikováno v: Neural Computing and Applications. 33:14167-14177

We propose “Deep Autoencoders for Feature Learning in Recommender Systems,” a novel discriminative model based on the incorporation of features from autoencoders in combination with embeddings into a deep neural network to predict ratings in reco

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5bbe602e3904c13c77d6332e6c77b44b
https://doi.org/10.1007/s00521-021-06065-9

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A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting

Autor: Sayan Putatunda, Kiran Rama

Publikováno v: 2019 Fifteenth International Conference on Information Processing (ICINPRO).

It is already reported in the literature that the performance of a machine learning algorithm is greatly impacted by performing proper Hyper-Parameter optimization. One of the ways to perform Hyper-Parameter optimization is by manual search but that

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6018442dcbb021a3ee7c3d9e3faf4f95
https://doi.org/10.1109/icinpro47689.2019.9092025

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A Comparative Analysis of Hyperopt as Against Other Approaches for Hyper-Parameter Optimization of XGBoost

Autor: Sayan Putatunda, Kiran Rama

Publikováno v: SPML

The impact of Hyper-Parameter optimization on the performance of a machine learning algorithm has been proved both theoretically and empirically by many studies reported in the literature. It is a tedious and a time-consuming task if one goes for Man

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::434c0292520b4b391a7267e3ffa94438
https://doi.org/10.1145/3297067.3297080

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Towards an Efficient Method of Modeling 'Next Best Action' for Digital Buyer’s Journey in B2B

Autor: Nishant Niranjan, Kiran Rama, Stig Berg, Parag Chitalia, Anit Bhandari, Nandini Seth

Publikováno v: Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319624150
MLDM
Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783319627007
ICDM

The rise of Digital B2B Marketing has presented us with new opportunities and challenges as compared to traditional e-commerce. B2B setup is different from B2C setup in many ways. Along with the contrasting buying entity (company vs. individual), the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f974356e2170c86dd4cd8ce4cb13fdc
https://doi.org/10.1007/978-3-319-62416-7_8

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SmartEDA: An R Package for Automated Exploratory Data Analysis

Autor: Ravi Prasad Kondapalli, Dayananda Ubrangala, Kiran Rama, Sayan Putatunda

Publikováno v: Journal of Open Source Software. 4:1509

This paper introduces SmartEDA, which is an R package for performing Exploratory data analysis (EDA). EDA is generally the first step that one needs to perform before developing any machine learning or statistical models. The goal of EDA is to help s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d37b88f8d3017dc3416fa81f3c1d70d
https://doi.org/10.21105/joss.01509

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List Price Optimization Using Customized Decision Trees

Autor: K. Raghava Rau, Kiran Rama, John Kiran, Shashank Shekhar, Sam Pritchett, Anit Bhandari, Parag Chitalia

Publikováno v: Machine Learning and Data Mining in Pattern Recognition ISBN: 9783319419190
ICDM
Advances in Data Mining. Applications and Theoretical Aspects ISBN: 9783319415604

There are many data mining solutions in the market which cater to solving pricing problems to various sectors in the business industry. The goal of such solutions is not only to give an optimum pricing but also maximize earnings of the customer. This

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8674bf7189a27150b2d068f9bc5b4ff3
https://doi.org/10.1007/978-3-319-41920-6_7

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Kniha

Soft Computing Approaches for Two-Dimensional Beamforming.

Autor: Kiran, Rama, Sircar, Pradip, Verma, Nishchal K.

Publikováno v: Recent Developments & New Direction in Soft-Computing Foundations & Applications; 2016, p301-314, 14p

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